Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	9760
Missing cells	1404
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 MiB
Average record size in memory	192.0 B

Variable types

Numeric	17
Categorical	5
Boolean	2

Warnings

`city` has constant value "Willow"	Constant
`coord_X` is highly correlated with `bearing`	High correlation
`bearing` is highly correlated with `coord_X`	High correlation
`house_quality_index` is highly correlated with `baths` and 2 other fields	High correlation
`age_since_construction` is highly correlated with `age_since_renovation` and 2 other fields	High correlation
`age_since_renovation` is highly correlated with `age_since_construction` and 2 other fields	High correlation
`floors` is highly correlated with `age_since_construction` and 2 other fields	High correlation
`bedrooms` is highly correlated with `baths` and 1 other fields	High correlation
`baths` is highly correlated with `house_quality_index` and 6 other fields	High correlation
`living_m2` is highly correlated with `house_quality_index` and 4 other fields	High correlation
`living_vs_neighbors` is highly correlated with `living_m2`	High correlation
`price` is highly correlated with `house_quality_index` and 2 other fields	High correlation
`coord_X` is highly correlated with `bearing`	High correlation
`bearing` is highly correlated with `coord_X` and 1 other fields	High correlation
`house_quality_index` is highly correlated with `age_since_construction` and 5 other fields	High correlation
`age_since_construction` is highly correlated with `house_quality_index` and 3 other fields	High correlation
`age_since_renovation` is highly correlated with `house_quality_index` and 3 other fields	High correlation
`floors` is highly correlated with `house_quality_index` and 3 other fields	High correlation
`bedrooms` is highly correlated with `baths` and 1 other fields	High correlation
`baths` is highly correlated with `house_quality_index` and 5 other fields	High correlation
`living_m2` is highly correlated with `house_quality_index` and 4 other fields	High correlation
`living_vs_neighbors` is highly correlated with `living_m2`	High correlation
`price` is highly correlated with `bearing` and 2 other fields	High correlation
`coord_X` is highly correlated with `bearing`	High correlation
`coord_Y` is highly correlated with `floors`	High correlation
`bearing` is highly correlated with `coord_X`	High correlation
`age_since_construction` is highly correlated with `age_since_renovation` and 2 other fields	High correlation
`age_since_renovation` is highly correlated with `age_since_construction` and 2 other fields	High correlation
`floors` is highly correlated with `coord_Y` and 2 other fields	High correlation
`baths` is highly correlated with `age_since_construction` and 2 other fields	High correlation
`living_m2` is highly correlated with `baths`	High correlation
`living_m2` is highly correlated with `price` and 3 other fields	High correlation
`house_state_index` is highly correlated with `age_since_renovation` and 1 other fields	High correlation
`coord_X` is highly correlated with `dist` and 2 other fields	High correlation
`price` is highly correlated with `living_m2` and 2 other fields	High correlation
`bedrooms` is highly correlated with `living_m2` and 1 other fields	High correlation
`viewsToPOI` is highly correlated with `price` and 1 other fields	High correlation
`dist` is highly correlated with `coord_X` and 3 other fields	High correlation
`age_since_renovation` is highly correlated with `house_state_index` and 6 other fields	High correlation
`view_quality` is highly correlated with `viewsToPOI`	High correlation
`lot_m2` is highly correlated with `lot_vs_neighbors`	High correlation
`baths` is highly correlated with `living_m2` and 5 other fields	High correlation
`house_quality_index` is highly correlated with `living_m2` and 5 other fields	High correlation
`postalcode` is highly correlated with `coord_X` and 3 other fields	High correlation
`bearing` is highly correlated with `coord_X` and 5 other fields	High correlation
`lot_vs_neighbors` is highly correlated with `lot_m2`	High correlation
`floors` is highly correlated with `age_since_renovation` and 3 other fields	High correlation
`age_since_construction` is highly correlated with `house_state_index` and 6 other fields	High correlation
`coord_Y` is highly correlated with `dist` and 4 other fields	High correlation
`house_state_index` is highly correlated with `city`	High correlation
`dow` is highly correlated with `city`	High correlation
`basement` is highly correlated with `city`	High correlation
`floors` is highly correlated with `city`	High correlation
`viewsToPOI` is highly correlated with `view_quality` and 1 other fields	High correlation
`view_quality` is highly correlated with `viewsToPOI` and 1 other fields	High correlation
`city` is highly correlated with `house_state_index` and 5 other fields	High correlation
`coord_X` has 428 (4.4%) missing values	Missing
`coord_Y` has 976 (10.0%) missing values	Missing
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`age_since_construction` has 111 (1.1%) zeros	Zeros
`age_since_renovation` has 149 (1.5%) zeros	Zeros

Reproduction

Analysis started	2021-08-22 12:11:11.804005
Analysis finished	2021-08-22 12:11:49.758763
Duration	37.95 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	9760
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4880.5

Minimum	1
Maximum	9760
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	1
5-th percentile	488.95
Q1	2440.75
median	4880.5
Q3	7320.25
95-th percentile	9272.05
Maximum	9760
Range	9759
Interquartile range (IQR)	4879.5

Descriptive statistics

Standard deviation	2817.613648
Coefficient of variation (CV)	0.5773206941
Kurtosis	-1.2
Mean	4880.5
Median Absolute Deviation (MAD)	2440
Skewness	0
Sum	47633680
Variance	7938946.667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
6510	1	< 0.1%
6503	1	< 0.1%
6504	1	< 0.1%
6505	1	< 0.1%
6506	1	< 0.1%
6507	1	< 0.1%
6508	1	< 0.1%
6509	1	< 0.1%
6511	1	< 0.1%
Other values (9750)	9750	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
9760	1	< 0.1%
9759	1	< 0.1%
9758	1	< 0.1%
9757	1	< 0.1%
9756	1	< 0.1%
9755	1	< 0.1%
9754	1	< 0.1%
9753	1	< 0.1%
9752	1	< 0.1%
9751	1	< 0.1%

city
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.4 KiB

Willow	9760

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	58560
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Willow
2nd row	Willow
3rd row	Willow
4th row	Willow
5th row	Willow

Common Values

Value	Count	Frequency (%)
Willow	9760	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
willow	9760	100.0%

Most occurring characters

Value	Count	Frequency (%)
l	19520	33.3%
W	9760	16.7%
i	9760	16.7%
o	9760	16.7%
w	9760	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	48800	83.3%
Uppercase Letter	9760	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	19520	40.0%
i	9760	20.0%
o	9760	20.0%
w	9760	20.0%

Uppercase Letter

Value	Count	Frequency (%)
W	9760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58560	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	19520	33.3%
W	9760	16.7%
i	9760	16.7%
o	9760	16.7%
w	9760	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	19520	33.3%
W	9760	16.7%
i	9760	16.7%
o	9760	16.7%
w	9760	16.7%

postalcode
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10030.27715

Minimum	10001
Maximum	10059
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	10001
5-th percentile	10004
Q1	10016
median	10029
Q3	10046
95-th percentile	10057
Maximum	10059
Range	58
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.21674664
Coefficient of variation (CV)	0.001716477659
Kurtosis	-1.262501646
Mean	10030.27715
Median Absolute Deviation (MAD)	16
Skewness	-0.004808234373
Sum	97895505
Variance	296.4163649
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10009	303	3.1%
10048	286	2.9%
10054	274	2.8%
10045	272	2.8%
10057	272	2.8%
10047	266	2.7%
10010	263	2.7%
10049	263	2.7%
10028	256	2.6%
10005	238	2.4%
Other values (49)	7067	72.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10001	193	2.0%
10002	123	1.3%
10003	121	1.2%
10004	125	1.3%
10005	238	2.4%
10006	137	1.4%
10007	154	1.6%
10008	89	0.9%
10009	303	3.1%
10010	263	2.7%

Value	Count	Frequency (%)
10059	104	1.1%
10058	195	2.0%
10057	272	2.8%
10056	137	1.4%
10055	133	1.4%
10054	274	2.8%
10053	70	0.7%
10052	155	1.6%
10051	138	1.4%
10050	127	1.3%

coord_X
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9186
Distinct (%)	98.4%
Missing	428
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	5386.42675

Minimum	-29004.59741
Maximum	29025.47585
Zeros	0
Zeros (%)	0.0%
Negative	3056
Negative (%)	31.3%
Memory size	76.4 KiB

Quantile statistics

Minimum	-29004.59741
5-th percentile	-22251.64969
Q1	-4482.997691
median	6904.453639
Q3	18410.89927
95-th percentile	26129.04306
Maximum	29025.47585
Range	58030.07326
Interquartile range (IQR)	22893.89696

Descriptive statistics

Standard deviation	15202.70332
Coefficient of variation (CV)	2.82240974
Kurtosis	-0.831938099
Mean	5386.42675
Median Absolute Deviation (MAD)	11488.75903
Skewness	-0.4529847107
Sum	50266134.43
Variance	231122188.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16459.87457	4	< 0.1%
20266.10333	3	< 0.1%
189.0833232	3	< 0.1%
15921.98695	3	< 0.1%
23440.80028	3	< 0.1%
2632.824273	3	< 0.1%
-10684.39576	3	< 0.1%
11281.71381	2	< 0.1%
-21033.36489	2	< 0.1%
4062.351854	2	< 0.1%
Other values (9176)	9304	95.3%
(Missing)	428	4.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-29004.59741	1	< 0.1%
-28822.5084	1	< 0.1%
-28810.25731	1	< 0.1%
-28783.53972	1	< 0.1%
-28764.9357	1	< 0.1%
-28759.56794	1	< 0.1%
-28739.51298	1	< 0.1%
-28728.3954	1	< 0.1%
-28728.31271	1	< 0.1%
-28713.39609	1	< 0.1%

Value	Count	Frequency (%)
29025.47585	1	< 0.1%
29021.47667	1	< 0.1%
29008.02537	1	< 0.1%
29007.87757	1	< 0.1%
28977.82834	1	< 0.1%
28969.40196	1	< 0.1%
28956.44134	1	< 0.1%
28934.03222	1	< 0.1%
28925.96822	1	< 0.1%
28924.31623	1	< 0.1%

coord_Y
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8678
Distinct (%)	98.8%
Missing	976
Missing (%)	10.0%
Infinite	0
Infinite (%)	0.0%
Mean	3408.415067

Minimum	-17244.59413
Maximum	17460.78276
Zeros	0
Zeros (%)	0.0%
Negative	3141
Negative (%)	32.2%
Memory size	76.4 KiB

Quantile statistics

Minimum	-17244.59413
5-th percentile	-12446.31181
Q1	-2825.119447
median	4545.527584
Q3	10888.48819
95-th percentile	15306.44325
Maximum	17460.78276
Range	34705.37689
Interquartile range (IQR)	13713.60764

Descriptive statistics

Standard deviation	8824.422759
Coefficient of variation (CV)	2.589010606
Kurtosis	-0.9183771849
Mean	3408.415067
Median Absolute Deviation (MAD)	6835.877608
Skewness	-0.4027123092
Sum	29939517.95
Variance	77870437.04
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
941.4654823	3	< 0.1%
13015.57858	3	< 0.1%
15320.69123	3	< 0.1%
-2816.796816	3	< 0.1%
-9292.835883	2	< 0.1%
13325.52509	2	< 0.1%
-14106.40084	2	< 0.1%
15250.30365	2	< 0.1%
15281.68817	2	< 0.1%
8010.778466	2	< 0.1%
Other values (8668)	8760	89.8%
(Missing)	976	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-17244.59413	1	< 0.1%
-17169.32356	1	< 0.1%
-17169.22523	1	< 0.1%
-17168.2757	1	< 0.1%
-17138.39721	1	< 0.1%
-17092.00006	1	< 0.1%
-17050.60991	1	< 0.1%
-17018.68443	1	< 0.1%
-16992.45104	1	< 0.1%
-16991.80124	1	< 0.1%

Value	Count	Frequency (%)
17460.78276	1	< 0.1%
17416.76024	1	< 0.1%
17392.28579	1	< 0.1%
17391.29054	1	< 0.1%
17315.96816	1	< 0.1%
17242.16037	1	< 0.1%
17242.06185	1	< 0.1%
17241.33824	1	< 0.1%
17191.97391	1	< 0.1%
17191.48321	1	< 0.1%

dist
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9594
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17237.17687

Minimum	411.578375
Maximum	32637.53292
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	411.578375
5-th percentile	4585.92532
Q1	12190.54502
median	17531.37781
Q3	22897.08524
95-th percentile	28471.63358
Maximum	32637.53292
Range	32225.95454
Interquartile range (IQR)	10706.54022

Descriptive statistics

Standard deviation	7260.517326
Coefficient of variation (CV)	0.4212126719
Kurtosis	-0.7884961698
Mean	17237.17687
Median Absolute Deviation (MAD)	5348.867749
Skewness	-0.2182537807
Sum	168234846.2
Variance	52715111.84
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18108.13751	4	< 0.1%
15545.26756	3	< 0.1%
22608.00582	3	< 0.1%
10684.46237	3	< 0.1%
960.265462	3	< 0.1%
26811.87057	3	< 0.1%
16169.23043	3	< 0.1%
12092.16659	3	< 0.1%
14854.027	2	< 0.1%
8858.87965	2	< 0.1%
Other values (9584)	9731	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
411.578375	1	< 0.1%
414.406971	1	< 0.1%
415.599973	1	< 0.1%
511.597233	1	< 0.1%
531.855559	1	< 0.1%
534.57799	1	< 0.1%
537.717733	2	< 0.1%
567.268295	1	< 0.1%
568.825893	1	< 0.1%
575.739945	1	< 0.1%

Value	Count	Frequency (%)
32637.53292	1	< 0.1%
32548.05474	1	< 0.1%
32502.059	1	< 0.1%
32391.45142	1	< 0.1%
32379.94928	1	< 0.1%
32352.81959	1	< 0.1%
32336.29486	1	< 0.1%
32241.71969	1	< 0.1%
32202.50685	1	< 0.1%
32190.42725	1	< 0.1%

bearing
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9618
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.85194373

Minimum	-179.71236
Maximum	179.724065
Zeros	0
Zeros (%)	0.0%
Negative	3206
Negative (%)	32.8%
Memory size	76.4 KiB

Quantile statistics

Minimum	-179.71236
5-th percentile	-121.8942112
Q1	-56.93703025
median	50.696071
Q3	85.417036
95-th percentile	142.4108734
Maximum	179.724065
Range	359.436425
Interquartile range (IQR)	142.3540662

Descriptive statistics

Standard deviation	83.54476941
Coefficient of variation (CV)	3.361699604
Kurtosis	-0.886973302
Mean	24.85194373
Median Absolute Deviation (MAD)	52.0749205
Skewness	-0.4482134351
Sum	242554.9708
Variance	6979.728496
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.750901	3	< 0.1%
11.356167	3	< 0.1%
60.958637	3	< 0.1%
100.032527	3	< 0.1%
63.690466	3	< 0.1%
65.364316	3	< 0.1%
-93.026713	2	< 0.1%
2.829255	2	< 0.1%
44.437144	2	< 0.1%
83.941609	2	< 0.1%
Other values (9608)	9734	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-179.71236	1	< 0.1%
-178.922794	1	< 0.1%
-178.772131	1	< 0.1%
-177.893394	1	< 0.1%
-177.174922	1	< 0.1%
-173.350793	1	< 0.1%
-172.674364	1	< 0.1%
-172.049112	1	< 0.1%
-169.803009	1	< 0.1%
-169.703059	1	< 0.1%

Value	Count	Frequency (%)
179.724065	1	< 0.1%
179.627838	1	< 0.1%
179.518738	1	< 0.1%
178.127409	1	< 0.1%
176.865697	1	< 0.1%
176.786222	1	< 0.1%
176.669206	1	< 0.1%
176.610705	1	< 0.1%
176.596761	1	< 0.1%
176.580913	1	< 0.1%

house_quality_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.669159836

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	4
median	4
Q3	5
95-th percentile	7
Maximum	10
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.156151305
Coefficient of variation (CV)	0.24761442
Kurtosis	1.093004059
Mean	4.669159836
Median Absolute Deviation (MAD)	1
Skewness	0.8068122457
Sum	45571
Variance	1.33668584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	4090	41.9%
5	2818	28.9%
6	1132	11.6%
3	856	8.8%
7	541	5.5%
8	170	1.7%
2	99	1.0%
9	43	0.4%
1	9	0.1%
10	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9	0.1%
2	99	1.0%
3	856	8.8%
4	4090	41.9%
5	2818	28.9%
6	1132	11.6%
7	541	5.5%
8	170	1.7%
9	43	0.4%
10	2	< 0.1%

Value	Count	Frequency (%)
10	2	< 0.1%
9	43	0.4%
8	170	1.7%
7	541	5.5%
6	1132	11.6%
5	2818	28.9%
4	4090	41.9%
3	856	8.8%
2	99	1.0%
1	9	0.1%

house_state_index
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.4 KiB

OK	6328
Satisfied	2599
Very Satisfied	751
Disatisfied	67
Very Disatisfied	15

Length

Max length	16
Median length	2
Mean length	4.870696721
Min length	2

Characters and Unicode

Total characters	47538
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Satisfied
2nd row	OK
3rd row	Satisfied
4th row	OK
5th row	OK

Common Values

Value	Count	Frequency (%)
OK	6328	64.8%
Satisfied	2599	26.6%
Very Satisfied	751	7.7%
Disatisfied	67	0.7%
Very Disatisfied	15	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ok	6328	60.1%
satisfied	3350	31.8%
very	766	7.3%
disatisfied	82	0.8%

Most occurring characters

Value	Count	Frequency (%)
i	6946	14.6%
O	6328	13.3%
K	6328	13.3%
e	4198	8.8%
s	3514	7.4%
a	3432	7.2%
t	3432	7.2%
f	3432	7.2%
d	3432	7.2%
S	3350	7.0%
Other values (5)	3146	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29918	62.9%
Uppercase Letter	16854	35.5%
Space Separator	766	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	6946	23.2%
e	4198	14.0%
s	3514	11.7%
a	3432	11.5%
t	3432	11.5%
f	3432	11.5%
d	3432	11.5%
r	766	2.6%
y	766	2.6%

Uppercase Letter

Value	Count	Frequency (%)
O	6328	37.5%
K	6328	37.5%
S	3350	19.9%
V	766	4.5%
D	82	0.5%

Space Separator

Value	Count	Frequency (%)
	766	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46772	98.4%
Common	766	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	6946	14.9%
O	6328	13.5%
K	6328	13.5%
e	4198	9.0%
s	3514	7.5%
a	3432	7.3%
t	3432	7.3%
f	3432	7.3%
d	3432	7.3%
S	3350	7.2%
Other values (4)	2380	5.1%

Common

Value	Count	Frequency (%)
	766	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47538	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	6946	14.6%
O	6328	13.3%
K	6328	13.3%
e	4198	8.8%
s	3514	7.4%
a	3432	7.2%
t	3432	7.2%
f	3432	7.2%
d	3432	7.2%
S	3350	7.0%
Other values (5)	3146	6.6%

age_since_construction
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	117
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.94743852

Minimum	0
Maximum	116
Zeros	111
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	19
median	41
Q3	63
95-th percentile	99
Maximum	116
Range	116
Interquartile range (IQR)	44

Descriptive statistics

Standard deviation	28.96736636
Coefficient of variation (CV)	0.6591366263
Kurtosis	-0.6256454176
Mean	43.94743852
Median Absolute Deviation (MAD)	22
Skewness	0.4475693933
Sum	428927
Variance	839.108314
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	206	2.1%
9	185	1.9%
10	179	1.8%
12	175	1.8%
38	165	1.7%
47	162	1.7%
8	160	1.6%
48	160	1.6%
36	157	1.6%
37	153	1.6%
Other values (107)	8058	82.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	111	1.1%
1	122	1.2%
2	150	1.5%
3	72	0.7%
4	62	0.6%
5	83	0.9%
6	122	1.2%
7	148	1.5%
8	160	1.6%
9	185	1.9%

Value	Count	Frequency (%)
116	6	0.1%
115	19	0.2%
114	19	0.2%
113	15	0.2%
112	17	0.2%
111	25	0.3%
110	27	0.3%
109	30	0.3%
108	40	0.4%
107	37	0.4%

age_since_renovation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	117
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.45696721

Minimum	0
Maximum	116
Zeros	149
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	16
median	38
Q3	61
95-th percentile	97
Maximum	116
Range	116
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	28.50175842
Coefficient of variation (CV)	0.6875022545
Kurtosis	-0.518947199
Mean	41.45696721
Median Absolute Deviation (MAD)	22
Skewness	0.5270992055
Sum	404620
Variance	812.3502332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	205	2.1%
10	198	2.0%
12	191	2.0%
9	183	1.9%
2	173	1.8%
8	171	1.8%
36	168	1.7%
47	161	1.6%
38	160	1.6%
7	156	1.6%
Other values (107)	7994	81.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	149	1.5%
1	150	1.5%
2	173	1.8%
3	71	0.7%
4	91	0.9%
5	111	1.1%
6	131	1.3%
7	156	1.6%
8	171	1.8%
9	183	1.9%

Value	Count	Frequency (%)
116	4	< 0.1%
115	16	0.2%
114	8	0.1%
113	17	0.2%
112	19	0.2%
111	17	0.2%
110	20	0.2%
109	25	0.3%
108	32	0.3%
107	33	0.3%

floors
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.4 KiB

1	4889
3	3722
2	808
5	277
4	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9760
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	1
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

Most occurring characters

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9760	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	9760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4889	50.1%
3	3722	38.1%
2	808	8.3%
5	277	2.8%
4	64	0.7%

basement
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.7 KiB

False	5806
True	3954

Common Values
Chart

Value	Count	Frequency (%)
False	5806	59.5%
True	3954	40.5%

bedrooms
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.379713115

Minimum	0
Maximum	8
Zeros	5
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8954338287
Coefficient of variation (CV)	0.2649437388
Kurtosis	1.016137645
Mean	3.379713115
Median Absolute Deviation (MAD)	1
Skewness	0.3974428781
Sum	32986
Variance	0.8018017416
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	4385	44.9%
4	3192	32.7%
2	1225	12.6%
5	727	7.4%
6	119	1.2%
1	82	0.8%
7	18	0.2%
8	7	0.1%
0	5	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5	0.1%
1	82	0.8%
2	1225	12.6%
3	4385	44.9%
4	3192	32.7%
5	727	7.4%
6	119	1.2%
7	18	0.2%
8	7	0.1%

Value	Count	Frequency (%)
8	7	0.1%
7	18	0.2%
6	119	1.2%
5	727	7.4%
4	3192	32.7%
3	4385	44.9%
2	1225	12.6%
1	82	0.8%
0	5	0.1%

baths
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.106147541

Minimum	0
Maximum	6
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1.5
median	2.25
Q3	2.5
95-th percentile	3.5
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7571367686
Coefficient of variation (CV)	0.3594889503
Kurtosis	0.4361242079
Mean	2.106147541
Median Absolute Deviation (MAD)	0.5
Skewness	0.3776579914
Sum	20556
Variance	0.5732560864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
2.5	2453	25.1%
1	1751	17.9%
1.75	1378	14.1%
2.25	929	9.5%
2	872	8.9%
1.5	666	6.8%
2.75	520	5.3%
3.5	329	3.4%
3	319	3.3%
3.25	266	2.7%
Other values (14)	277	2.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
0.5	3	< 0.1%
0.75	27	0.3%
1	1751	17.9%
1.25	6	0.1%
1.5	666	6.8%
1.75	1378	14.1%
2	872	8.9%
2.25	929	9.5%
2.5	2453	25.1%

Value	Count	Frequency (%)
6	2	< 0.1%
5.75	1	< 0.1%
5.5	2	< 0.1%
5.25	4	< 0.1%
5	10	0.1%
4.75	11	0.1%
4.5	45	0.5%
4.25	38	0.4%
4	58	0.6%
3.75	66	0.7%

living_m2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	474
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	192.8971311

Minimum	34
Maximum	929
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	34
5-th percentile	86
Q1	133
median	178
Q3	237
95-th percentile	347
Maximum	929
Range	895
Interquartile range (IQR)	104

Descriptive statistics

Standard deviation	83.1492181
Coefficient of variation (CV)	0.4310547161
Kurtosis	3.130476515
Mean	192.8971311
Median Absolute Deviation (MAD)	50
Skewness	1.262838542
Sum	1882676
Variance	6913.792471
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
143	77	0.8%
169	70	0.7%
165	69	0.7%
153	68	0.7%
130	68	0.7%
170	67	0.7%
141	65	0.7%
154	65	0.7%
131	65	0.7%
134	63	0.6%
Other values (464)	9083	93.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34	1	< 0.1%
36	2	< 0.1%
38	1	< 0.1%
39	2	< 0.1%
43	1	< 0.1%
48	2	< 0.1%
50	3	< 0.1%
51	1	< 0.1%
52	1	< 0.1%
53	1	< 0.1%

Value	Count	Frequency (%)
929	1	< 0.1%
746	1	< 0.1%
730	1	< 0.1%
729	1	< 0.1%
716	1	< 0.1%
707	1	< 0.1%
692	1	< 0.1%
659	1	< 0.1%
647	1	< 0.1%
645	1	< 0.1%

lot_m2
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2329
Distinct (%)	23.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1139.655738

Minimum	53
Maximum	42172
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	53
5-th percentile	171
Q1	467
median	697
Q3	960
95-th percentile	3269.05
Maximum	42172
Range	42119
Interquartile range (IQR)	493

Descriptive statistics

Standard deviation	2295.626589
Coefficient of variation (CV)	2.014315826
Kurtosis	93.57251416
Mean	1139.655738
Median Absolute Deviation (MAD)	235
Skewness	8.4976194
Sum	11123040
Variance	5269901.437
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
465	53	0.5%
466	47	0.5%
463	44	0.5%
464	40	0.4%
670	39	0.4%
371	39	0.4%
372	38	0.4%
558	37	0.4%
559	35	0.4%
373	34	0.3%
Other values (2319)	9354	95.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
53	1	< 0.1%
59	2	< 0.1%
60	1	< 0.1%
61	1	< 0.1%
63	2	< 0.1%
64	2	< 0.1%
65	1	< 0.1%
66	1	< 0.1%
67	1	< 0.1%
69	6	0.1%

Value	Count	Frequency (%)
42172	1	< 0.1%
41233	1	< 0.1%
40363	1	< 0.1%
39038	1	< 0.1%
38452	1	< 0.1%
33457	1	< 0.1%
31333	1	< 0.1%
29331	1	< 0.1%
27576	1	< 0.1%
27267	1	< 0.1%

living_vs_neighbors
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	247
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.053856557

Minimum	0.18
Maximum	5.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0.18
5-th percentile	0.63
Q1	0.88
median	1
Q3	1.16
95-th percentile	1.63
Maximum	5.98
Range	5.8
Interquartile range (IQR)	0.28

Descriptive statistics

Standard deviation	0.3228443751
Coefficient of variation (CV)	0.3063456529
Kurtosis	15.37590841
Mean	1.053856557
Median Absolute Deviation (MAD)	0.14
Skewness	2.241772348
Sum	10285.64
Variance	0.1042284905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	971	9.9%
1.01	306	3.1%
0.99	299	3.1%
0.98	183	1.9%
0.95	165	1.7%
0.94	163	1.7%
0.96	156	1.6%
1.06	156	1.6%
1.02	152	1.6%
1.03	150	1.5%
Other values (237)	7059	72.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.18	1	< 0.1%
0.27	1	< 0.1%
0.28	3	< 0.1%
0.29	3	< 0.1%
0.3	1	< 0.1%
0.31	1	< 0.1%
0.33	2	< 0.1%
0.34	1	< 0.1%
0.36	2	< 0.1%
0.37	2	< 0.1%

Value	Count	Frequency (%)
5.98	1	< 0.1%
5.73	1	< 0.1%
3.54	1	< 0.1%
3.49	1	< 0.1%
3.36	1	< 0.1%
3.35	1	< 0.1%
3.25	1	< 0.1%
3.2	1	< 0.1%
3.19	1	< 0.1%
3.18	1	< 0.1%

lot_vs_neighbors
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	362
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.100652664

Minimum	0.11
Maximum	35.44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	0.11
5-th percentile	0.67
Q1	0.94
median	1
Q3	1.09
95-th percentile	1.71
Maximum	35.44
Range	35.33
Interquartile range (IQR)	0.15

Descriptive statistics

Standard deviation	0.7840001855
Coefficient of variation (CV)	0.7123048089
Kurtosis	642.5481528
Mean	1.100652664
Median Absolute Deviation (MAD)	0.07
Skewness	19.82103316
Sum	10742.37
Variance	0.6146562909
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2324	23.8%
0.99	338	3.5%
1.01	278	2.8%
0.97	220	2.3%
0.98	214	2.2%
0.96	186	1.9%
0.95	181	1.9%
1.02	172	1.8%
1.03	168	1.7%
0.94	167	1.7%
Other values (352)	5512	56.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.11	1	< 0.1%
0.12	2	< 0.1%
0.13	1	< 0.1%
0.14	3	< 0.1%
0.15	1	< 0.1%
0.2	2	< 0.1%
0.21	2	< 0.1%
0.22	7	0.1%
0.23	4	< 0.1%
0.24	3	< 0.1%

Value	Count	Frequency (%)
35.44	1	< 0.1%
28.04	1	< 0.1%
22.32	1	< 0.1%
19.55	1	< 0.1%
13.28	1	< 0.1%
12.51	1	< 0.1%
12.33	1	< 0.1%
11.22	1	< 0.1%
10.77	1	< 0.1%
10.53	1	< 0.1%

viewsToPOI
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.7 KiB

False	9691
True	69

Common Values
Chart

Value	Count	Frequency (%)
False	9691	99.3%
True	69	0.7%

view_quality
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.4 KiB

Very Disatisfied	8837
OK	407
Satisfied	209
Disatisfied	166
Very Satisfied	141

Length

Max length	16
Median length	16
Mean length	15.15235656
Min length	2

Characters and Unicode

Total characters	147887
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Disatisfied
2nd row	Very Disatisfied
3rd row	Very Disatisfied
4th row	Very Disatisfied
5th row	Very Disatisfied

Common Values

Value	Count	Frequency (%)
Very Disatisfied	8837	90.5%
OK	407	4.2%
Satisfied	209	2.1%
Disatisfied	166	1.7%
Very Satisfied	141	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
disatisfied	9003	48.0%
very	8978	47.9%
ok	407	2.2%
satisfied	350	1.9%

Most occurring characters

Value	Count	Frequency (%)
i	27709	18.7%
s	18356	12.4%
e	18331	12.4%
a	9353	6.3%
t	9353	6.3%
f	9353	6.3%
d	9353	6.3%
D	9003	6.1%
V	8978	6.1%
r	8978	6.1%
Other values (5)	19120	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	119764	81.0%
Uppercase Letter	19145	12.9%
Space Separator	8978	6.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	27709	23.1%
s	18356	15.3%
e	18331	15.3%
a	9353	7.8%
t	9353	7.8%
f	9353	7.8%
d	9353	7.8%
r	8978	7.5%
y	8978	7.5%

Uppercase Letter

Value	Count	Frequency (%)
D	9003	47.0%
V	8978	46.9%
O	407	2.1%
K	407	2.1%
S	350	1.8%

Space Separator

Value	Count	Frequency (%)
	8978	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	138909	93.9%
Common	8978	6.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	27709	19.9%
s	18356	13.2%
e	18331	13.2%
a	9353	6.7%
t	9353	6.7%
f	9353	6.7%
d	9353	6.7%
D	9003	6.5%
V	8978	6.5%
r	8978	6.5%
Other values (4)	10142	7.3%

Common

Value	Count	Frequency (%)
	8978	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	147887	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	27709	18.7%
s	18356	12.4%
e	18331	12.4%
a	9353	6.3%
t	9353	6.3%
f	9353	6.3%
d	9353	6.3%
D	9003	6.1%
V	8978	6.1%
r	8978	6.1%
Other values (5)	19120	12.9%

dow
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	76.4 KiB

Tue	2125
Wed	2032
Mon	1878
Thu	1857
Fri	1631
Other values (2)	237

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	29280
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tue
2nd row	Thu
3rd row	Wed
4th row	Mon
5th row	Wed

Common Values

Value	Count	Frequency (%)
Tue	2125	21.8%
Wed	2032	20.8%
Mon	1878	19.2%
Thu	1857	19.0%
Fri	1631	16.7%
Sat	131	1.3%
Sun	106	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
tue	2125	21.8%
wed	2032	20.8%
mon	1878	19.2%
thu	1857	19.0%
fri	1631	16.7%
sat	131	1.3%
sun	106	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	4157	14.2%
u	4088	14.0%
T	3982	13.6%
W	2032	6.9%
d	2032	6.9%
n	1984	6.8%
M	1878	6.4%
o	1878	6.4%
h	1857	6.3%
F	1631	5.6%
Other values (5)	3761	12.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19520	66.7%
Uppercase Letter	9760	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4157	21.3%
u	4088	20.9%
d	2032	10.4%
n	1984	10.2%
o	1878	9.6%
h	1857	9.5%
r	1631	8.4%
i	1631	8.4%
a	131	0.7%
t	131	0.7%

Uppercase Letter

Value	Count	Frequency (%)
T	3982	40.8%
W	2032	20.8%
M	1878	19.2%
F	1631	16.7%
S	237	2.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29280	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4157	14.2%
u	4088	14.0%
T	3982	13.6%
W	2032	6.9%
d	2032	6.9%
n	1984	6.8%
M	1878	6.4%
o	1878	6.4%
h	1857	6.3%
F	1631	5.6%
Other values (5)	3761	12.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4157	14.2%
u	4088	14.0%
T	3982	13.6%
W	2032	6.9%
d	2032	6.9%
n	1984	6.8%
M	1878	6.4%
o	1878	6.4%
h	1857	6.3%
F	1631	5.6%
Other values (5)	3761	12.8%

month
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.732479508

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	7
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.226950376
Coefficient of variation (CV)	0.4793108352
Kurtosis	-1.094810286
Mean	6.732479508
Median Absolute Deviation (MAD)	3
Skewness	-0.06114076883
Sum	65709
Variance	10.41320873
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	1092	11.2%
4	1072	11.0%
6	1064	10.9%
8	954	9.8%
10	918	9.4%
3	905	9.3%
9	867	8.9%
12	757	7.8%
11	692	7.1%
2	644	6.6%
Other values (2)	795	8.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	474	4.9%
2	644	6.6%
3	905	9.3%
4	1072	11.0%
5	321	3.3%
6	1064	10.9%
7	1092	11.2%
8	954	9.8%
9	867	8.9%
10	918	9.4%

Value	Count	Frequency (%)
12	757	7.8%
11	692	7.1%
10	918	9.4%
9	867	8.9%
8	954	9.8%
7	1092	11.2%
6	1064	10.9%
5	321	3.3%
4	1072	11.0%
3	905	9.3%

price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9667
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	483571.7111

Minimum	72584
Maximum	6312525
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	76.4 KiB

Quantile statistics

Minimum	72584
5-th percentile	192016.95
Q1	290942
median	403556
Q3	579834.5
95-th percentile	1019623.65
Maximum	6312525
Range	6239941
Interquartile range (IQR)	288892.5

Descriptive statistics

Standard deviation	316475.3648
Coefficient of variation (CV)	0.6544538432
Kurtosis	27.72951287
Mean	483571.7111
Median Absolute Deviation (MAD)	134054.5
Skewness	3.597930137
Sum	4719659900
Variance	1.001566565 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
761495	2	< 0.1%
262590	2	< 0.1%
279606	2	< 0.1%
469010	2	< 0.1%
219724	2	< 0.1%
180309	2	< 0.1%
349876	2	< 0.1%
350079	2	< 0.1%
648786	2	< 0.1%
397438	2	< 0.1%
Other values (9657)	9740	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
72584	1	< 0.1%
75113	1	< 0.1%
76453	1	< 0.1%
80620	1	< 0.1%
80688	1	< 0.1%
80746	1	< 0.1%
81002	1	< 0.1%
82655	1	< 0.1%
85255	1	< 0.1%
85415	1	< 0.1%

Value	Count	Frequency (%)
6312525	1	< 0.1%
4599835	1	< 0.1%
3781201	1	< 0.1%
3444567	1	< 0.1%
3399046	1	< 0.1%
3053305	1	< 0.1%
3050941	1	< 0.1%
3008426	1	< 0.1%
2956704	1	< 0.1%
2956650	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	city	postalcode	coord_X	coord_Y	dist	bearing	house_quality_index	house_state_index	age_since_construction	age_since_renovation	floors	basement	bedrooms	baths	living_m2	lot_m2	living_vs_neighbors	lot_vs_neighbors	viewsToPOI	view_quality	dow	month	price
0	1	Willow	10023	-13563.883	-717.194	13582.830	-93.027	4	Very Satisfied	41	41	1	No	3	2.00	123	671	0.86	1.00	N	Very Disatisfied	Tue	6	226487
1	2	Willow	10036	15160.213	14160.977	20745.248	46.952	6	OK	10	9	3	Yes	3	3.50	256	417	1.41	0.75	N	Very Disatisfied	Thu	12	852083
2	3	Willow	10005	5471.000	-3198.093	6337.163	120.309	4	Satisfied	61	61	1	Yes	3	1.50	142	736	1.01	0.81	N	Very Disatisfied	Wed	7	405006
3	4	Willow	10011	7259.583	-15910.380	17488.332	155.474	7	OK	10	10	3	No	4	3.75	309	746	0.89	1.00	N	Very Disatisfied	Mon	7	720376
4	5	Willow	10031	13608.913	NaN	13704.478	83.230	4	OK	63	63	1	No	3	1.00	108	999	0.49	0.79	N	Very Disatisfied	Wed	12	786720
5	6	Willow	10049	19984.688	13773.939	24271.571	55.424	4	OK	74	5	3	Yes	4	2.75	249	500	1.65	1.00	N	Very Disatisfied	Thu	3	645034
6	7	Willow	10050	-14779.838	NaN	17356.101	-58.382	4	Satisfied	32	32	1	No	3	2.00	121	465	0.80	0.67	N	Very Disatisfied	Mon	9	215477
7	8	Willow	10054	16977.246	11227.610	20354.019	56.522	4	Satisfied	104	104	2	No	3	2.00	136	584	0.87	1.32	N	Very Disatisfied	Mon	12	635726
8	9	Willow	10002	2899.659	15319.992	15591.991	10.718	4	OK	19	19	3	Yes	2	2.00	116	110	0.98	0.96	N	Very Disatisfied	Thu	3	305475
9	10	Willow	10054	18969.399	12199.752	22553.759	57.254	4	Satisfied	93	93	1	Yes	3	0.75	132	286	1.06	0.77	N	Very Disatisfied	Mon	10	320007

Last rows

	id	city	postalcode	coord_X	coord_Y	dist	bearing	house_quality_index	house_state_index	age_since_construction	age_since_renovation	floors	basement	bedrooms	baths	living_m2	lot_m2	living_vs_neighbors	lot_vs_neighbors	viewsToPOI	view_quality	dow	month	price
9750	9751	Willow	10026	21861.644	12869.036	25368.161	59.516	4	Satisfied	60	60	1	No	4	2.00	212	671	2.08	0.95	N	Very Disatisfied	Tue	11	450039
9751	9752	Willow	10051	26873.788	-3036.420	27044.784	96.446	5	Satisfied	34	34	1	Yes	4	2.25	268	930	1.20	0.95	N	Very Disatisfied	Fri	11	551512
9752	9753	Willow	10049	19620.744	NaN	24683.000	52.647	5	Satisfied	61	61	1	No	3	1.00	151	558	0.77	1.00	N	Satisfied	Wed	8	493437
9753	9754	Willow	10054	18655.978	11149.294	21733.667	59.136	4	OK	57	57	1	Yes	3	1.75	178	447	1.09	1.00	N	Very Disatisfied	Thu	6	629650
9754	9755	Willow	10010	4862.592	6810.768	8368.474	35.525	4	OK	67	67	1	No	3	1.50	228	671	1.28	1.05	N	Very Disatisfied	Fri	11	495355
9755	9756	Willow	10015	25177.758	-8286.976	26506.480	108.218	4	Satisfied	48	48	1	No	3	1.00	108	888	1.00	0.90	N	Very Disatisfied	Tue	11	292574
9756	9757	Willow	10057	-17505.139	-8121.071	19297.193	-114.888	4	Satisfied	27	27	1	No	3	1.75	117	892	0.77	0.97	N	Very Disatisfied	Tue	4	261727
9757	9758	Willow	10013	7232.397	8086.859	10849.187	41.808	4	Satisfied	103	103	1	Yes	5	2.50	265	466	1.30	1.00	N	Very Disatisfied	Sat	8	665147
9758	9759	Willow	10054	19238.028	13024.983	23232.562	55.900	4	OK	88	87	2	No	3	1.00	118	355	1.00	0.91	N	Very Disatisfied	Fri	3	482569
9759	9760	Willow	10031	10073.106	639.115	10093.361	86.370	4	Satisfied	58	58	1	Yes	4	2.50	233	810	1.17	1.00	N	Very Disatisfied	Wed	8	695811

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ